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Seminare - Winter Semester 2023 / 2024

Seminar über "spezielle Probleme in der Theorie der Kolloide"

Ort: HHU Düsseldorf, Seminarraum 25.32.O2.51
Programm:
DatumSprecher/inThemaZeit
Mi 25.10.2023   R. Wittmann  Best Fokker-Planck approximation  14:30 s.t.
Mi 22.11.2023   K. Olsen  Stochastic resetting: from search processes to thermodynamics  14:30 s.t.
Mo 11.12.2023   Y. J. Zheng  Noise and hyperuniformity in field theories  11:00 s.t.
Mi 13.12.2023   I. Abdoli  Brownian gyrator: from magneto to twin gyrators  14:30 s.t.
Mi 20.12.2023   I. Malhotra  Unravelling Mpmeba Effect  14:30 s.t.
Mi 10.01.2024   S. Chaki  Dynamics of Active Granular Rods  14:30 s.t.
Mi 31.01.2024   A. Antonov  Active dynamics with Coulomb friction  14:30 s.t.
Fr 02.02.2024   G.H.P. Nguyen  DDFT model of growing bacteria  11:00 s.t.
gez.: Prof. Dr. H. Löwen

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Seminar über "Spezielle Probleme der Computersimulation weicher Materie"

Ort: HHU Düsseldorf, Seminarraum 25.32.O2.51
Programm:
DatumSprecher/inThemaZeit
Mi 25.10.2023   R. Wittmann  Best Fokker-Planck approximation  14:30 s.t.
Mi 13.12.2023   I. Abdoli  Brownian gyrator: from magneto to twin gyrators  14:30 s.t.
Mi 20.12.2023   I. Malhotra  Unravelling Mpmeba Effect  14:30 s.t.
Mi 10.01.2024   S. Chaki  Dynamics of Active Granular Rods  14:30 s.t.
Fr 19.01.2024   M. Adhikari  Glass and jamming transitions in higher spatial dimensions  14:30 s.t.
Fr 02.02.2024   G.H.P. Nguyen  DDFT model of growing bacteria  11:00 s.t.
gez.: Prof. Dr. J. Horbach

oben

Seminar “Soft Matter”

Ort: HHU Düsseldorf, Seminarraum 25.32.O2.51
Programm:
DatumSprecher/inInstitutZeit
Fr 26.01.2024   Wentao Gong  ETH Zurich, Switzerland  14:00 s.t.
Active Phase Separation: Unraveling Whi3-RNA Membrane Interactions and Mobility-Induced Spatial Patterns
Di 23.01.2024   Souradeep Ghosh  IISER, Kolkatta, India  11:00 s.t.
Thermodynamic Interplay in Associating Charged Polymers
Mo 22.01.2024   Jing Wang  Otto-von-Guericke-Universität Magdeburg  11:00 s.t.
Hydrodynamics on an object in hydrogel granulate beds
Do 18.01.2024   Rishabh Sharma  TIFR Hyderabad, India  15:30 s.t.
On the Similarities Between Actively Driven and Sheared Glasses
Mo 15.01.2024   Aditya Vats  IIT Delhi, India  11:00 s.t.
Symbiotic Dynamics in Living Liquid Crystals
Fr 08.12.2023   Dr. Charles Reichhardt  Los Alamos National Laboratory, The United States of America  14:30 s.t.
Complex Dynamics in Active Matter Systems, Frustration Effects, Magnus Forces and Synchronization
Mo 30.10.2023   Dr. Jens Elgeti  Forschungszentrum Jülich  11:30 s.t.
Mechanics of cellular monolayers
Do 05.10.2023   Prof. Dr. T. Palberg  Institut für Physik, Johannes Gutenberg Universität  16:30 s.t.
Writing in Water
gez.: Prof. Dr. Egelhaaf, Prof. Dr. Horbach, Prof. Dr. Löwen

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Kolloquien

Ort: HHU Düsseldorf, Hörsaal 5J (Gebäude 25.31 Ebene 00)
Programm:
DatumSprecher/inInstitutZeit
Do 01.02.2024   Prof. Dr. Daniela Kraft  Soft Matter Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden Institute of Physics, Leiden University, The Netherlands  16:30 s.t.
Prof. Dr. Daniela Kraft: „From colloidal hinges to reconfigurable structures and microrobots”
Soft Matter Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden Institute of Physics, Leiden University, The Netherlands - Seminar@HHUD: 1.2.24 16:30 s.t., Lecture hall 25.31 O0.5J

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From colloidal hinges to reconfigurable structures and microrobots
Do 12.10.2023   Dr. Gláucia Murta  Institut für Theoretische Physik III, Heinrich-Heine-Universität Düsseldorf  16:30 s.t.
Dr. Gláucia Murta: „Device-independent quantum cryptography: towards network protocols”
Institut für Theoretische Physik III, Heinrich-Heine-Universität Düsseldorf - Seminar@HHUD: 12.10.2023 16:30 s.t., Lecture hall 25.31 O0.5J

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Device-independent quantum cryptography: towards network protocols
Do 29.06.2023   Dr. Ivonne Möller  Ruhr Universität Bochum  16:30 s.t.
Dr. Ivonne Möller: „Gemeinsam zur Eigenständigkeit - Peer-Mentoring-Module im Physik-Studium an der RUB”
Ruhr Universität Bochum - Seminar@HHUD: 29.6.23 16:30 s.t., Lecture hall 25.31 O0.5J

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Gemeinsam zur Eigenständigkeit - Peer-Mentoring-Module im Physik-Studium an der RUB
Do 22.06.2023   Prof. Dr. Thomas Speck  Universität Stuttgart  16:30 s.t.
Prof. Dr. Thomas Speck: „Dissipative structure formation in soft materials”
Universität Stuttgart - Seminar@HHUD: 22.6.23 16:30 s.t., Lecture hall 25.31 O0.5J

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Dissipative structure formation in soft materials
Do 25.05.2023   Prof. Dr. Constantin R. Schrade  Niels Bohr Institute, University of Copenhagen, Denmark  16:30 s.t.
Prof. Dr. Constantin R. Schrade: „Next-Generation Qubits in Superconducting Circuits”
Niels Bohr Institute, University of Copenhagen, Denmark - Seminar@HHUD: 25.5.23 16:30 s.t., Lecture hall 25.31 O0.5J

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Next-Generation Qubits in Superconducting Circuits
Do 20.04.2023   Prof. Dr. Gerhard Kahl  Institut für Theoretische Physik, TU Wien, Austria  16:30 s.t.
Prof. Dr. Gerhard Kahl: „Microswimmers learning chemotaxis”
Institut für Theoretische Physik, TU Wien, Austria - Seminar@HHUD: 20.4.23 16:30 s.t., Lecture hall 25.31 O0.5J

Microorganisms which are abundant in nature and which play a key role in many biological phenomena have developed a huge variety of strategies which help them in nutrient uptake, to reproduce, to escape from predators, or to hunt prey. These strategies are realized via different manners, such as shape deformations or by the use of appendages. In an effort to understand the locomotion of these microswimmers under low Reynolds number conditions, models have been proposed, which are based on fixed swimming strategies. However, models of such organisms that adapt their swimming strategies to the ever changing surroundings have rarely been investigated, so far. I will report about a project where a simple microswimmer model is trained to swim and to uptake nutrients by combining the equations-of-motion with modern tools of machine learning. Using genetic algorithms optimized neural networks are developed which control the shape deformations of the microswimmers and allow them to navigate in static and time-dependent chemical environ-ments. By introducing noisy signal transmission in the neural networks the well-known biased run-and-tumble motion emerges, as it is known for many swimming microorganisms. Extensions of the simple model in use to more realistic microswimmers are discussed.

Microswimmers learning chemotaxis
Für die Dozenten der Physik

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Seminar über Examensarbeiten aus dem Institut für Theoretische Physik, Lehrstuhl II

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Link: Physikalisches Kolloquium





















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